JOURNAL ARTICLE

Power System Frequency Estimation Using Least Mean Square Technique

Ashok Kumar PradhanAurobinda RoutrayAbhinandan Basak

Year: 2005 Journal:   IEEE Transactions on Power Delivery Vol: 20 (3)Pages: 1812-1816   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Frequency is an important parameter in power system monitoring, control, and protection. A least mean square (LMS) algorithm in complex form is presented in this paper to estimate power system frequency where the formulated structure is very simple. The three-phase voltages are converted to a complex form for processing by the proposed algorithm. To enhance the convergence characteristic of the complex form of the LMS algorithm, a variable adaptation step-size is incorporated. The performance of the new algorithm is studied through simulations at different situations of the power system.

Keywords:
Least mean squares filter Control theory (sociology) Convergence (economics) Electric power system Square (algebra) Automatic frequency control Voltage Power (physics) Simple (philosophy) Algorithm Mathematics Computer science Adaptive filter Engineering Control (management) Telecommunications

Metrics

299
Cited By
11.16
FWCI (Field Weighted Citation Impact)
13
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Quality and Harmonics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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